WORLD CONFERENCE

What's new?

What's new since last conference?

A quick review of the most prominent features included since the last conference held at Budapest.

Transparency and Tomorrow

From transparency to action: review how we spent our resources, celebrate wins, acknowledge gaps, and dream up the next generation of community priorities. A closing session that closes loops while opening new possibilities.

iDempiere in Pharmaceutical Cloud offering

Pharmaceutical is regulated industry which require strict compliant software. iDempiere is successfully implemented in Pharma and health care industries by Logilite

From Code to Deploy: How We Really Use AI in iDempiere

AI tools are rapidly changing how we design, develop, test, and implement iDempiere, however each team experiments in isolation, and we rarely compare approaches. This interactive roundtable brings together developers and technical implementers to share concrete, technical ways they are using AI in the iDempiere ecosystem: from code generation and refactoring, to test coverage, migration scripts, data quality checks, documentation, and deployment automation.

The session will start with a short framing of typical AI use cases and open questions (governance, code quality, privacy, licensing), followed by a facilitated “open panel” where participants briefly share how they use AI in their day‑to‑day work with iDempiere. We will collect patterns, tools, and workflows, but also failures and anti‑patterns, and group them into emerging “recipes” the community can build on.

The format is intentionally sales‑free, vendor‑neutral, and focused on learning from real experience: what works, what does not, and where we need better community practices and tooling. Participants will leave with a clearer picture of how peers are using AI today, ideas to improve their own workflows, and suggestions for future community initiatives (plugins, guidelines, or shared experiments).

iDempiere in an AI‑First World: Rethinking Our Developer Ecosystem

AI is changing how we write, review, test, and deploy software much faster than most ecosystems can adapt. In this session we look at iDempiere as a “software ecology”: a socio‑technical system made of people, culture, tools, plugins, repositories, infrastructure and community practices. Building on ideas from Adam Bender’s “Software engineering at the tipping point,” we explore what an AI‑first future could mean specifically for iDempiere development.

We will start with a short, practical introduction to systems thinking and “software ecology” and then map those concepts onto the iDempiere world: community repositories, plugins, CI/CD, test coverage, branches and forks, documentation, support channels and governance. Using concrete examples, we will discuss how AI assistance could amplify both strengths and weaknesses: more code, more tests, more tokens, more services and higher operational complexity.

The session will focus on questions that are highly relevant for the project: What would a “10x” increase in change volume look like for iDempiere? Where would things break first? Which cultural and technical practices (testing, code review, standards, plugin quality, documentation) matter most to keep the ecosystem healthy as AI adoption grows?

Attendees will leave with a shared vocabulary to talk about the iDempiere ecosystem, concrete risk areas to watch, and a set of ideas for how our community can prepare for an AI‑first future.

iDempiere in Education – Observations in Basic and Advanced Levels

iDempiere is a good demonstrator for many principles of ERP-systems and general digitalization in business. At DHBW diverse university courses used iDempiere in recent years. The courses ranged from creating and supporting (new) businesses and, In the first years of usage of iDempiere in education, the emphasis has been on systematic understanding of master data and the relations between different document actions to get business smoothly running. The scope of the projects evolved by integrating other technical challenges like layout of printed documents, configuration of workflows, usage of complex products. In other scenarios students worked on projects to student projects integrating iDempiere workflows e.g. with IoT-devices, a web-shop, or a robot.

At the moment the goal is to configure an adaptive cost accounting and allocation. After a short elaboration on underlying concepts it is intended to share expertise with other participants of the conference.

Modernizing ERP Development: Leveraging ZK AI Tools and Enterprise Components for iDempiere

In this session, Hawk Chen, a senior consultant from the ZK Framework team, explores the long-standing and evolving technical synergy between ZK and iDempiere. Hawk Chen will share key milestones from the past year’s collaboration, highlighting critical updates to the framework’s foundation—such as Jakarta migration support and modern theme enhancements—that ensure iDempiere remains robust and future-proof.

The presentation will introduce a new suite of open-source components designed to enrich the ERP user experience and demonstrate specialized integration projects that bridge the gap between iDempiere’s core and high-performance enterprise tools. Furthermore, attendees will get an exclusive look at how ZK is embracing the AI era. Hawk Chen will demonstrate cutting-edge AI-assisted development tools, including the ZK DOC MCP and zul Writer, which are designed to significantly accelerate the creation of robust UI extensions and complex business forms.

This session is essential for developers and integrators who want to elevate their application's capabilities, streamline their development workflow, and participate in a vision for a next-generation, AI-driven ERP ecosystem.

Before the Reply: How AI Agents Turn Customer Messages into ERP Action

It is Tuesday afternoon and a customer sends a WhatsApp message asking for a quote. By the time someone checks the inbox, the opportunity may already be gone. This is where most customer relationships begin today, yet the operational truth of the business still lives somewhere else: inside the ERP.

This session shows a practical way to close that gap using AI agents and iDempiere. Johan will walk through one real customer message, from the moment it arrives to the moment it becomes a structured, actionable record inside the ERP. The agent reads the message, understands what the customer needs, finds the right Business Partner or creates a new one, and captures the details that matter: what is being requested, by when, and under what conditions. It then prepares a CRM or workflow record that someone can review and act on immediately. By the time someone gets back to the customer, most of the manual work is already done.

This is not about letting AI make business decisions or bypassing ERP processes. It is about removing the repetitive work that slows teams down while keeping iDempiere as the system of record. AI acts as an orchestration layer around the ERP, not a replacement for it. It reads, classifies, and structures information, while people remain in control of approvals, exceptions, and decisions that require business judgment.

Attendees will see the complete flow live, from the incoming customer message to the resulting ERP record. More importantly, they will understand how it actually works and leave with a practical blueprint they can adapt to their own organization, regardless of the AI tools or technology stack they use.

iDempiere 12 multi-portal integration with AI automation

We have a process where we have 3rd party business partner like Supplier chaos: AP teams spend 40%+ of their time chasing invoice status, resolving mismatches by phone and email. Customer blind spots: customers have no visibility into order or production status, driving high CSR call volume. Manual bank recon: bank statement matching is largely manual by 2–5 accountant days per month on exception clearing. PLC data is stranded: shop-floor sensor and OEE data never reaches the ERP, production orders close on estimates, not actuals. No AI in the loop: every exception — AP, AR, banking, quality — lands in a human inbox rather than being triaged automatically.

BI Views for iDempiere and What Superset and AI Can Do With Them

What if every analytics tool you reach for just works on your iDempiere database - cleanly, safely, without re-inventing the same joins? This talk shows how, starting from one idea: shape the data once, in a set of well-crafted views.

The raw iDempiere schema is a wall - hundreds of tables, cryptic codes, mixed units, credit memos with the wrong sign, and a super-user with no row-level safety. So we built a curated BI view layer: pure SQL on top of a live database (or a replication server). It exposes only what matters, resolves codes to words, normalizes currency and units, pre-computes year-over-year columns, and filters every row by tenant using iDempiere's own role rights. It is one single contract every tool can build on. The materialized part can even run on a separate reporting server.

The heart of the talk are two power applications on top of that layer:

• Apache Superset: live dashboards with BI charts by drag-and-drop, with row-level security enforced by the database itself.
• AI Agent: an agent plugin inside iDempiere that answers plain-language questions by writing read-only SQL against the view layer and returns charts, reports or analytic documents - and that structurally cannot leak or change data. It builds reusable patterns for trustworthy self-service analytics for end-users on iDempiere.

One Board to Load Them All: A New Dispatcher's Board for Logistics with iDempiere

Every morning, before the drivers arrive, a beverage wholesaler's dispatcher has to load around nine trucks with up to three hundred delivery notes - and be done before the trucks roll. Each delivery note looks like a single line, but hides a dense bundle of constraints: weight, kegs and cases, whether it needs one driver or two, a trailer, returnables, a key kept at the depot, a delivery time window, cash-only customers, which weekdays are even allowed, and which side of the truck a pallet must stand on for a one-way street. It is one of the most demanding screens in the whole ERP - and it is a core point of user experience and usage performance.

This talk shows how we rebuilt iDempiere's tour planning as a fast, information-dense board that thinks like a dispatcher. We'll walk through a working prototype: an at-a-glance card that encodes a dozen attributes without text; instant drag-and-drop dispatching with an optimistic UI; a top-down "load plan" where you pack the truck's cargo bed pallet by pallet and the screen warns you when a pallet sits on the wrong side; and the tour drawn on a free OpenStreetMap with cached routing.

Then we lift the lid: underneath sits a reusable iDempiere building block - a generic "Pinboard" view type and a status layer - so the next hard board is a configuration, not a new plugin. You'll leave with concrete ideas for designing power-user screens, and a pattern for turning a one-off into something the whole community can use.

My Perspective on Practical Version Upgrade Strategies for iDempiere Distributions

This presentation introduces the speaker’s personal perspective on practical upgrade strategies for iDempiere distributions based on more than ten years of experience with iDempiere. It focuses on the practical maintenance of JPiere, monthly minor upgrades, major-version transitions, plugin strategies, and how integrators can approach upgrades for their customers.